Sr Data Architect - (Data & Analytics / Cloud/ AI)

BMO • Naperville, IL

11d • $100,000 - $220,000

About The Position

BMO Financial Group is seeking an experienced Solution Architect with data expertise to provide architecture leadership across enterprise Data & Analytics initiatives. The role defines end-to-end solution architectures, establishes technology standards, drives cloud data platform modernization, and ensures secure, scalable, and compliant data solutions. The architect works with business stakeholders, product teams, engineers, security teams, and enterprise architects to deliver data capabilities for analytics, reporting, AI/ML, and digital transformation. BMO is specifically seeking a Solution Architect with data expertise rather than a Data Engineer.

The position designs and governs architectures across cloud and hybrid environments, develops solution designs and architecture artifacts, leads architecture reviews, and provides technical leadership across multiple initiatives. It also contributes to architecture roadmaps and implementation plans, enterprise data strategy, data security and governance, and AI architecture practices.

Requirements

• Experience providing architecture leadership for enterprise Data & Analytics initiatives.
• Experience with AWS services including S3, Redshift, Glue, Athena, Lake Formation, Lambda, Step Functions, IAM, KMS, Secrets Manager, EventBridge, and data streaming services.
• Exposure to Microsoft Azure services, including Azure Data Lake Storage (ADLS) and Microsoft Fabric.
• Experience designing enterprise-scale ETL/ELT solutions.
• Knowledge of Managed File Transfer (MFT), REST and SOAP API integrations, and event-driven and streaming architectures.
• Experience integrating SaaS, on-premises, and cloud-based applications.
• Expertise in enterprise data security and compliance practices, including encryption at rest and in transit, key management, RBAC, ABAC, data masking and tokenization, data classification and retention policies, and audit, monitoring, and compliance controls.
• Familiarity with regulatory and governance frameworks such as CCPA, HIPAA, SOX, and internal security standards.
• Strong understanding of data lake, lakehouse, and data warehouse architectures; enterprise integration patterns; API-first architectures; microservices and event-driven architectures; real-time and batch data processing; and Data Mesh and Data Fabric concepts.
• Experience documenting architecture artifacts, capability maps, application inventories, technology roadmaps, and reference architectures.
• Experience presenting complex solutions to an Architecture Review Board or similar and obtaining approval.
• Experience achieving architecture alignment with stakeholders and translating complex data problems and strategy into solutions.
• Understanding of organization-wide data domains and data flows, such as customer, account, products, and transactions, and how to create meaningful outcomes from data.
• Clear vision and thinking regarding data-driven decision-making.
• Expertise as a Solution Architect with data experience; the role is not seeking a Data Engineer.

Nice To Haves

• Experience with iServer; the posting identifies this as a plus.

Responsibilities

• Define and govern end-to-end architecture for Data & Analytics solutions across cloud and hybrid environments.
• Develop architecture blueprints and conceptual, logical, and physical solution designs using enterprise architecture tools such as iServer, LeanIX, Orbus Infinity, or equivalent.
• Lead architecture reviews, design governance, and solution assessments to ensure alignment with enterprise standards and target-state architecture.
• Design and implement scalable data platforms for data ingestion, transformation, storage, governance, analytics, and AI/ML workloads.
• Partner with business and technical stakeholders to translate requirements into architecture roadmaps and implementation plans.
• Provide technical leadership across multiple Data & Analytics initiatives, identifying risks, dependencies, and optimization opportunities.
• Present complex solutions to an Architecture Review Board or similar body and obtain approval.
• Obtain architecture alignment from stakeholders and simplify complex data problems and strategy into solutions.
• Apply understanding of organization-wide data domains and flows, such as customer, account, products, and transactions, to enable meaningful outcomes and data-driven decisions.
• Address AI reference architectures and integration patterns, AI application design, AI security, governance, and responsible AI practices.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• The total compensation package may include performance-based incentives, discretionary bonuses, perks, and rewards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed